Abdominal obesity and coronary heart disease in Thai men.

OBJECTIVE: To determine the association of four simple anthropometric indices with coronary heart disease (CHD) in Thai men, and to determine the optimal cut-off points for each index in the prediction of CHD. RESEARCH METHODS AND PROCEDURES: This is a cohort study with 17 years of follow-up. A total of 2536 male employees from the Electricity Generating Authority of Thailand 35 to 59 years of age at baseline were included in the study. Height, weight, waist circumference, and hip circumference were measured to generate BMI, waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR). Cox regression models were used to estimate hazard ratios by thirds of each index. Receiver operating characteristic curves were used to assess discrimination of CHD. RESULTS: WHtR was most strongly associated with CHD events in Thai men. The age-adjusted hazard ratio for those in the highest, compared with the lowest, third was 2.89 (1.37, 6.11). Although WHtR had the largest area under the receiver operating characteristic curve (AUC) with the optimal cut-off estimated to be 0.51 (sensitivity, 55%; specificity, 61%), no statistically significant difference (p>0.10) was found between the AUC for WHtR and that for the other three indices. CONCLUSION: WHtR is, marginally, the best of the four indices considered to predict CHD events in Thai men.

Risk indicators of periodontal disease in older Thai adults.

BACKGROUND: The aim of this study was to identify risk indicators for periodontitis using cross-sectional data from a group of older Thai adults. METHODS: The study group consisted of 2,005 individuals, aged 50 to 73 years old. They received detailed medical examinations and periodontal examinations including plaque score, probing depth, and clinical attachment level. These individuals were categorized into mild, moderate, or severe periodontitis if mean clinical attachment level was <2.5 mm, 2.5 to 3.9 mm, or > or = 4.0 mm, respectively. The degree of association between the severity of periodontitis and various independent variables was investigated using multinomial logistic regression analysis. RESULTS: The percentage of subjects classified as mild, moderate, and severe periodontitis was 30.5, 53.6, and 15.9, respectively. The prevalence of severe periodontitis was higher in males and increased with age. In univariate analysis, older subjects, males, less educated persons, persons with lower income, persons with higher plaque score, smokers, drinkers, and diabetics were more likely to have both moderate and severe periodontitis. In multivariate analysis, males, less educated persons, persons with higher plaque score, and current smokers were more likely to have moderate periodontitis. Three additional factors including older age, former smokers, and diabetes significantly increased the odds for having severe periodontitis. Income, alcohol consumption, body mass index, and waist circumference had no significant effects on periodontal disease severity in the multivariate model. CONCLUSIONS: Our data suggest that age, gender, education, oral hygiene status, smoking, and diabetes are significantly associated with periodontal disease severity in this study group. Longitudinal studies will establish whether these variables are true risk factors.